Rewiring Intelligence: Evolving Your Network Strategy for Driving Success of Your Agentic Enterprise – Tata Communications Triple-T
Enterprises are racing to adopt AI, yet ambition is outpacing infrastructure. Pilots stall, agentic workflows can’t scale past proof of concept, and the promised gains in speed and autonomy stay out of reach — not because the AI is lacking, but because the infrastructure beneath it isn’t ready.
This session examines why enterprise AI adoption is hitting a wall: legacy network architectures built for human-driven, site-to-site interactions are fundamentally mismatched with the identity, intent, and real-time demands of machine-driven and agent-based systems.
The network isn’t just another layer to patch — it’s the foundation that determines whether connectivity, cloud, edge, and observability can operate as one coordinated system, or remain a set of disconnected components each enterprise must manage on its own.The session underpins what real network evolution requires: a shift from static, human-centric connectivity to a unified, software-defined fabric that extends identity to systems and agents, orchestrates traffic around application intent, and adapts in real time across domains.
Tata Communications will also present a robust framework that for delivering this transformation — a digital fabric unifying global network, multi-cloud connectivity, and edge distribution, with AI-driven observability and governance that extends into agent-driven execution.
Attendees leave with a clear view of why network readiness is the precondition for Agentic Enterprise success, and a practical framework for closing that gap.
Four Key Takeaways from the Session
* The bottleneck isn’t the AI. It’s the infrastructure underneath it. Legacy networks were built for human, site-to-site interactions. They weren’t designed for machine-driven, agentic workloads — and that mismatch, not model quality, is what’s stalling enterprise AI at scale.
* The network isn’t a layer to fix. It’s the foundation everything else depends on. Whether connectivity, cloud, edge, and observability operate as one coordinated system, or as fragmented pieces the enterprise has to stitch together itself, comes down to whether the network was built to unify them.
* Readiness means a fundamental shift, not a patch. Static, human-centric connectivity has to give way to a software-defined fabric — one with identity extended to systems and agents, orchestration driven by application intent, and real-time, closed-loop adaptation across domains.
* A 5-step framework makes evolution achievable without a network overhaul. Success isn’t about ripping and replacing. It’s a practical, phased path that combines legacy and modern infrastructure investments to evolve the network in step with the enterprise’s move toward agentic AI.
Amitabh Kotwal is a seasoned executive with a strong background in telecommunications and the IT industry. He has held senior leadership roles and has contributed to business growth, incubated teams, and partner ecosystem management across multiple regions.
Amitabh Kotwal serves as Vice President of the Customer Success Group at Tata Communications, leading Solutions Engineering, Customer Success, and Strategic Alliances across the Americas. He oversees the region’s revenue performance and builds strong customer relationships that drive satisfaction, retention, and loyalty. Amitabh leads a results-driven Solutions Engineering organization that translates complex customer requirements and market opportunities into scalable, differentiated solutions that accelerate growth. He also directs the company’s strategy and engagement with key systems integrators and technology platform partners across the region. By developing joint strategic initiatives and integrated solutions, he enables partners to better serve customers, expand market share, unlock non-linear growth, and strengthen long-term profitability.
With nearly 25 years of telecommunications experience across several international assignments, Amitabh has held senior management and technical roles. His technical expertise and commercial judgment give him a strong understanding of the industry, enabling him to explain evolving digital trends to customers and clearly articulate how technology affects businesses today and in the future. Passionate about AI and digital transformation, he advises customers and partners on innovative solutions that address their rapidly changing needs.
Amitabh holds a graduate degree in computer engineering & post graduate degree in Management.
